Sander van der Hoog
- Economics and Econometrics top 2%
- General Economics, Econometrics and Finance top 5%
- Finance top 5%
- Management Science and Operations Research top 10%
- Sociology and Political Science
- Co-authors
- Herbert DawidChristophe DeissenbergPhilipp HartingMichael NeugartSimon GemkowSimon CoakleySilvano CincottiMarco Raberto
- Topics
- Complex Systems and Time Series Analysis (15 papers)Economic theories and models (15 papers)Banking stability, regulation, efficiency (6 papers)
In The Last Decade
Sander van der Hoog
29 papers receiving 490 citations
Peers
Comparison fields: 5 of 73
- Economics and Econometrics 375
- General Economics, Econometrics and Finance 167
- Finance 116
- Management Science and Operations Research 83
- Sociology and Political Science 32
Countries citing papers authored by Sander van der Hoog
This map shows the geographic impact of Sander van der Hoog's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sander van der Hoog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sander van der Hoog more than expected).
Fields of papers citing papers by Sander van der Hoog
This network shows the impact of papers produced by Sander van der Hoog. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sander van der Hoog. The network helps show where Sander van der Hoog may publish in the future.
Co-authorship network of co-authors of Sander van der Hoog
This figure shows the co-authorship network connecting the top 25 collaborators of Sander van der Hoog. A scholar is included among the top collaborators of Sander van der Hoog based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sander van der Hoog. Sander van der Hoog is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Agent-based macroeconomic modeling and policy analyses: The Eurace@Unibi Model | 1 |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 19 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 27 | |
| 12 | 2 | |
| 13 | Large-scale Modelling of Economic Systems | 4 |
| 14 | 18 | |
| 15 | Eurace@Unibi Model v1.0 User Manual | 7 |
| 16 | 164 | |
| 17 | 1 | |
| 18 | Modelling Requirements for EURACE | 1 |
| 19 | Modelling Specifications for EURACE | 1 |
| 20 | On Multi-Agent Based Simulation | 10 |
About Sander van der Hoog
Sander van der Hoog is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 30 papers that have together received 520 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (15 papers), Economic theories and models (15 papers) and Banking stability, regulation, efficiency (6 papers). The work is most often cited by research in General Economics, Econometrics and Finance (167 citations), Economics and Econometrics (375 citations) and Finance (116 citations). Sander van der Hoog has collaborated with scholars based in Germany and France. Frequent co-authors include Herbert Dawid, Christophe Deissenberg, Philipp Harting, Michael Neugart, Simon Gemkow, Simon Coakley, Silvano Cincotti, Marco Raberto, Herbert Gintis and Antoine Mandel. Their work appears in journals such as Journal of Economic Behavior & Organization, Applied Mathematics and Computation and Industrial and Corporate Change.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.